Musically Yours - Implementation of Music Playlist using Machine Learning and Music Therapy

Authors

  • Keerthana K M Dept. Of Computer Science & Engineering, Jyothy Institute of Technology, Bangalore, India
  • Sanjana V Dept. Of Computer Science & Engineering, Jyothy Institute of Technology, Bangalore, India
  • Aishwarya S Dept. Of Computer Science & Engineering, Jyothy Institute of Technology, Bangalore, India
  • Aishwarya B Nagesh Dept. Of Computer Science & Engineering, Jyothy Institute of Technology, Bangalore, India
  • Vallabh Mahale Dept. Of Computer Science & Engineering, Jyothy Institute of Technology, Bangalore, India

Keywords:

Music therapy, Chatbot, Natural Language Processing (NLP), Machine Learning (ML), Neural Networks (NN)

Abstract

In the late 20th century, the disciplines of music therapy and relevant technology have evolved, creating a new trend in the industry of science. Because of this, combining the therapy with the technology is still considered novel. Recently, as patients are able to gain access to a wide range of complementary therapies, also as computers have reached a stage where real-time audio-visual interaction is possible, projects that address therapeutic issues with multiple media technology have started to emerge. Music is known to have positive effects on human beings, where it enhances learning and aids the healing process. This paper presents how one can manage their stress levels by using music therapy. Mental stress is caused due to various reasons, which spreads across different age groups as well. To overcome the efforts spent on searching music relatable to their mindset, we decided to come up with an application which custom designs a music playlist for the people. It will be focused on one’s present emotion and made sure that he/she feels after listening to the music recommended by our application.

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References

Rajam Shanker, “The Healing Power of Indian Ragas”, Personal

Experiences of Ragas Applied in Music Therapy, 2019.

Zhongzhe Xiao, Emmanuel Dellandrea, Weibei Dou and Liming

Chen, “What is the best segment duration for the Music Mood

Analysis?”, Department of Electronic Engineering, Tsinghua

University.

Hasminda Hassan, Zunairah Haji Murat, Valerie Ross and

Norlida Buniyamin, “A Preliminary Study on the Effects of

Music on Human Brainwaves”, International Conference on

Control, Automation and Information Sciences (ICCAIS), 2012.

Christensen, Erik, “Music Listening, Music Therapy,

Phenomenology and Neuroscience”, Aalborg University,

Denmark, 2012.

Harriet Jackson Scarupa, “Therapy … Through Music”, New

Directions: Vol. 9: Iss. 3, Article 1, April 1982.

Amanda Jones, “Stuttering and Music Therapy”, Ball State

University, Muncie, Indiana, April 2015.

M. Durai Pandian, “Sleep Pattern Analysis and Improvement

using Artificial Intelligence and Music Therapy”, Journal of

Artificial Intelligence and Capsule Networks, 2019.

Ahmed Fadhil, Gianluca Schiavo, Yunlong Wang, Bereket A.

Yilma, “The Effect of Emojis when interacting with

Conversational Interface Assisted Health Coaching System”,

PervasiveHealth ’18, May 2018, New York, USA.

Rohit Tamrakar, Niraj Wani, “Design and Development of

CHATBOT: A Review”, Sardar Vallabhbhai National Institute of

Technology, Surat, April 2021.

Sudhakar Reddy, M Vyshnavi, C. Raju Kumar and Saumya,

“Virtual Assistant Using Artificial Intelligence”, Journal of

Emerging Technologies and Innovative Research (JETIR), March

Jessica Sharmin Rahman, Tom Gedeon, Sabrina Caldwell,

Richard Jones, Zi Jin, “Towards Effective Music Therapy for

Mental Health Care using Machine Learning Tools: Human

Affective Reasoning and Music Genres”, Research School of

Computer Science, The Australian National University, Canberra,

th September 2020.

Ian McLoughlin, Haomin Zhang, Zhipeng Xie, Yan Song and

Wei Xiao, “Robust Sound Event Classification using Deep Neural

Networks”, IEEE Transactions on Audio, Speech and Language

Processing, May 2014.

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Published

2022-06-13

How to Cite

[1]
K. K M, S. V, A. S, A. B. Nagesh, and V. Mahale, “Musically Yours - Implementation of Music Playlist using Machine Learning and Music Therapy”, pices, pp. 23-25, Jun. 2022.

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Section

Articles